Part 2/12:
The process begins with understanding the pitfalls of current AI-generated summaries. A 'garbage' synopsis often lacks specificity, character names, or setting details, resulting in generic and unengaging narratives. To address this, the approach involves cleansing existing data by removing names and location references, which otherwise tend to produce bland outputs. This ensures the AI learns to produce more sophisticated and contextually rich synopses over iterations.